Clinical Data Scientist
Clinical Data Scientist
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Job Description
Reporting to the Clinical Data Science Manager the Clinical Data Scientist is an integral part of our team here at PSI. You will work with clinical trials patient and operational data develop new data solutions and set up Riskbased Monitoring systems in Process Improvement department.
Hybrid work in Oxford
- Participate in selection of the RiskBased Monitoring (RBM) system and provide relevant training to the project team and/or Sponsor
- Set up and maintain RBM systems collaborating with the Central Monitoring Manager
- Manage complex datasets from multiple sources including data extraction transformation and loading into PSI data platform
- Program and produce data listings tables and figures for Clinical Data Reviewers and Central Monitoring Managers
- Calculate Key Risk Indicators and Quality Tolerance Limits applying advanced analytical techniques to identify data trends for Centralized Monitoring
- Collaborate crossfunctionally to identify study challenges and develop data solutions using advanced analytics
- Communicate data findings and solutions to stakeholders effectively
- Contribute to the development of databases software products processes and Quality System Documents for Centralized Monitoring
Qualifications :
Must have:
- Degree in Data Science Mathematics Statistics Computer Science or equivalent; or relevant work experience and professional qualifications
- At least 5 years of experience in Data Management Biostatistics and Centralized Monitoring
- At least 4 years of experience in one or more of the following: R R Shiny SAS SQL and associated packages and libraries
- At least 2year experience in data engineering area including one or more of the following: relationship databases data warehousing data schemas data stores data modeling testing validation and analysis
- Full professional proficiency in English
- Strong analytical an logical thinking
- Communication and collaboration skills
Nice to have:
- Experience with CluePoints RBM system
- Knowledge of statistical methods and techniques for analyzing data
- Experience with using Machine Learning technics and products testing and validation
Additional Information :
What we offer:
- We value your time so the recruitment process is as quick as 3 meetings
- Well prepare you to do your job at highest quality level with our extensive onboarding and mentorship program
- Youll have excellent working conditions spacious and modern office in convenient location and friendly supportive team who love to hang out together
- Youll have permanent work agreement at a stable privately owned company
- We care about our employees aside from competitive salary youll have good worklife balance with flexible working hours and additional days off life and medical insurance sports card lunch card
- Were constantly growing which means opportunities for personal and professional growth
Make the right call and take your career to a whole new level. Join the company that focuses on its people and invests in their professional development and success.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
